metadata

license: apache-2.0
tags:
  - JJhooww/Mistral-7B-v0.2-Base_ptbr
  - J-LAB/BRisa
model-index:
  - name: BRisa-7B-Instruct-v0.2
    results:
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: ENEM Challenge (No Images)
          type: eduagarcia/enem_challenge
          split: train
          args:
            num_few_shot: 3
        metrics:
          - type: acc
            value: 65.08
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=J-LAB/BRisa-7B-Instruct-v0.2
          name: Open Portuguese LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: BLUEX (No Images)
          type: eduagarcia-temp/BLUEX_without_images
          split: train
          args:
            num_few_shot: 3
        metrics:
          - type: acc
            value: 53.69
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=J-LAB/BRisa-7B-Instruct-v0.2
          name: Open Portuguese LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: OAB Exams
          type: eduagarcia/oab_exams
          split: train
          args:
            num_few_shot: 3
        metrics:
          - type: acc
            value: 43.37
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=J-LAB/BRisa-7B-Instruct-v0.2
          name: Open Portuguese LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: Assin2 RTE
          type: assin2
          split: test
          args:
            num_few_shot: 15
        metrics:
          - type: f1_macro
            value: 91.5
            name: f1-macro
        source:
          url: >-
            https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=J-LAB/BRisa-7B-Instruct-v0.2
          name: Open Portuguese LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: Assin2 STS
          type: eduagarcia/portuguese_benchmark
          split: test
          args:
            num_few_shot: 15
        metrics:
          - type: pearson
            value: 73.61
            name: pearson
        source:
          url: >-
            https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=J-LAB/BRisa-7B-Instruct-v0.2
          name: Open Portuguese LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: FaQuAD NLI
          type: ruanchaves/faquad-nli
          split: test
          args:
            num_few_shot: 15
        metrics:
          - type: f1_macro
            value: 68.31
            name: f1-macro
        source:
          url: >-
            https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=J-LAB/BRisa-7B-Instruct-v0.2
          name: Open Portuguese LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: HateBR Binary
          type: ruanchaves/hatebr
          split: test
          args:
            num_few_shot: 25
        metrics:
          - type: f1_macro
            value: 74.28
            name: f1-macro
        source:
          url: >-
            https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=J-LAB/BRisa-7B-Instruct-v0.2
          name: Open Portuguese LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: PT Hate Speech Binary
          type: hate_speech_portuguese
          split: test
          args:
            num_few_shot: 25
        metrics:
          - type: f1_macro
            value: 65.12
            name: f1-macro
        source:
          url: >-
            https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=J-LAB/BRisa-7B-Instruct-v0.2
          name: Open Portuguese LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: tweetSentBR
          type: eduagarcia/tweetsentbr_fewshot
          split: test
          args:
            num_few_shot: 25
        metrics:
          - type: f1_macro
            value: 60.77
            name: f1-macro
        source:
          url: >-
            https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=J-LAB/BRisa-7B-Instruct-v0.2
          name: Open Portuguese LLM Leaderboard

BRisa 7B Instruct

This is an instruction model trained for good performance in Portuguese. The initial base is the Mistral 7B v2 Model (source). We utilized the JJhooww/Mistral-7B-v0.2-Base_ptbr version pre-trained on 1 billion tokens in Portuguese (source).

The base model has good performance in Portuguese but faces significant challenges following instructions. We therefore used the version mistralai/Mistral-7B-Instruct-v0.2 and fine-tuned it for responses in Portuguese, then merged it with the base JJhooww/Mistral-7B-v0.2-Base_ptbr (https://huggingface.co/JJhooww/Mistral-7B-v0.2-Base_ptbr).

Developed by: (J-LAB)
Language(s) (NLP): Portuguese
License: APACHE
Finetuned from model: (source)

Model Sources

Demo: (Demonstracao da Versão DPO)

Open Portuguese LLM Leaderboard Evaluation Results

Detailed results can be found here and on the 🚀 Open Portuguese LLM Leaderboard

Metric	Value
Average	66.19
ENEM Challenge (No Images)	65.08
BLUEX (No Images)	53.69
OAB Exams	43.37
Assin2 RTE	91.50
Assin2 STS	73.61
FaQuAD NLI	68.31
HateBR Binary	74.28
PT Hate Speech Binary	65.12
tweetSentBR	60.77